找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Chuanlei Zhang,Wei Chen Conference proceed

[復(fù)制鏈接]
樓主: 皺紋
31#
發(fā)表于 2025-3-26 23:30:24 | 只看該作者
32#
發(fā)表于 2025-3-27 02:48:25 | 只看該作者
0302-9743 4882 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024...The total of 863 regular papers were carefully reviewed and selected from 2189 submissions...This year, the conference concentrated mainly on th
33#
發(fā)表于 2025-3-27 06:09:03 | 只看該作者
https://doi.org/10.1007/978-3-662-00854-6lass domain distribution matching loss, is proposed to better align the features of different domains in the high-dimensional space. Experiments are conducted on three benchmark datasets to compare our model with other mainstream models, and the results achieve higher accuracy.
34#
發(fā)表于 2025-3-27 11:13:19 | 只看該作者
35#
發(fā)表于 2025-3-27 15:47:30 | 只看該作者
36#
發(fā)表于 2025-3-27 19:01:58 | 只看該作者
Multi-mode Graph Attention-Based Anomaly Detection on Attributed Networks detection methods encounter challenges in following aspects: capturing sparsity, nonlinearity, and ensuring the uniqueness of anomalies. To address these issues, this paper introduces an autoencoder framework built upon multi-mode graph attention networks, which models attribute networks using grap
37#
發(fā)表于 2025-3-27 22:12:24 | 只看該作者
A Hierarchical Multi-scale Cortical Learning Algorithm for Time Series Forecastingct temporal dependencies of time series, it ignores the characteristics of the data and can’t deal with the intricate temporal patterns within the sequence. Multi-scale information is crucial for modeling time series, but is not fully studied in the CLA. To this end, we propose a Hierarchical Multi-
38#
發(fā)表于 2025-3-28 05:44:43 | 只看該作者
39#
發(fā)表于 2025-3-28 07:22:46 | 只看該作者
40#
發(fā)表于 2025-3-28 10:37:23 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-22 14:29
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
莲花县| 连平县| 南漳县| 泾川县| 图木舒克市| 房山区| 临泽县| 瑞昌市| 申扎县| 石景山区| 方山县| 静宁县| 新兴县| 平原县| 乾安县| 和平区| 西丰县| 湖北省| 江城| 新沂市| 隆子县| 青州市| 阳山县| 涿州市| 监利县| 高安市| 汝南县| 巧家县| 密山市| 池州市| 永春县| 百色市| 侯马市| 新巴尔虎右旗| 萨迦县| 宝鸡市| 明水县| 宁国市| 长宁区| 普洱| 永寿县|